Algorithmic Thinking (Part 1), Certificate | Part time online | Coursera | United States
1 days
Duration
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About

This two-part Algorithmic Thinking (Part 1) course offered by Coursera in partnership with Rice University builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking".

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Overview

Key Features

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  

In part 1 of this two-part Algorithmic Thinking (Part 1) course offered by Coursera in partnership with Rice University, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory.  As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.

Recommended Background - Students should be comfortable writing intermediate size  (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in "Principles of Computing".

Programme Structure

Courses include:

  • What is Algorithmic Thinking?, class structure, graphs, brute-force algorithms
  • Graph representations, plotting, analysis of citation graphs
  • Asymptotic analysis, "big O" notation, pseudocode, breadth-first search
  • Connected components, graph resilience, and analysis of computer networks

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level

Tuition Fee

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  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

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Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. 

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